HyperAI Super Neural
HyperAI Super Neural
Mar 27, 2026 · Artificial Intelligence

Open-Source Reasoning Datasets: NVIDIA, OpenAI, Labs – Math, Spatial, Wiki QA

HyperAI has compiled a collection of high‑quality open‑source reasoning datasets—including Open‑RL, CHIMERA, Nemotron‑Math‑v2, OmniSpatial, FrontierScience, HotpotQA, VCR, and CIRR—covering math, multi‑step STEM problems, spatial reasoning, scientific tasks, wiki QA, and visual commonsense, all available for download or online use.

NVIDIAOpenAImultimodal
0 likes · 9 min read
Open-Source Reasoning Datasets: NVIDIA, OpenAI, Labs – Math, Spatial, Wiki QA
AI Algorithm Path
AI Algorithm Path
Feb 16, 2026 · Artificial Intelligence

Why Visual Tokenizers Bridge the Gap Between Pixels and Meaning

Vision‑language models turn continuous images into discrete tokens through patch extraction, encoding, and projection, enabling Transformers to reason jointly over vision and text, but this compression introduces limits in spatial reasoning, counting, and resolution sensitivity that users must understand.

Self-attentioncountingmultimodal fusion
0 likes · 22 min read
Why Visual Tokenizers Bridge the Gap Between Pixels and Meaning
AntTech
AntTech
Jul 17, 2025 · Artificial Intelligence

How M2-Reasoning-7B Achieves State‑of‑the‑Art Spatial Reasoning in Multimodal AI

M2-Reasoning-7B, an open‑source 7B multimodal model from Ant Group, combines a high‑quality data pipeline with dynamic multi‑task training and a novel reward function to deliver state‑of‑the‑art performance on both general and spatial reasoning benchmarks, surpassing many larger competitors.

Large Language ModelM2-Reasoningbenchmark
0 likes · 9 min read
How M2-Reasoning-7B Achieves State‑of‑the‑Art Spatial Reasoning in Multimodal AI